Orbitofrontal Cortex & Executive Function Flashcards

1
Q

OFC vs PFC

A
  • general consensus = regions in lateral/medial PFC (DLPFC/VLPFC/ACC) are doing something dif from orbitofrontal cortex (OFC)
  • aka. cold VS hot cognition
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2
Q

BECHARA ET AL. (1994): PROCEDURE

A
  • looked at role of orbitofrontal cortex in cognitive control via IOWA gambling task
  • pps presented w/4 virtual card decks on computer screen; told that each time they choose a card they’ll win game money BUT sometimes choosing a card loses money
  • game goal = win as much as possible
  • decks differ in trial numbers over which losses are distributed aka. some decks = “bad”/”good” as they’ll lead to eventual loss/win
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3
Q

BECHARA ET AL. (1994): RESULTS

A
  • normal controls learned to avoid risky decks & chose decks w/overall profit
  • patients w/lesions to occipital/temporal/dorsolateral prefrontal cortical regions = equivalent performance (usually preferring “good” decks)
  • BUT patients w/OFC lesions = pref for risky decks aka. unable to learn about response-reward contingencies
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4
Q

BECHARA ET AL. (1996)

A
  • tested skin conductance response (SCR) of OFC lesion patients performing same card-game task from previous studies
  • SCR = sweating measure checking anxiety
  • SCRs during reward/punishment = roughly equivalent in patients/controls
  • BUT anticipatory SCRs (measured between deck choice & receipt of reward/punishment) = greatly reduced in patients w/OFC lesions
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5
Q

DAMASIO: SOMATIC MARKER HYPOTHESIS

A
  • focus on OFC role in value-based decision making
  • emotional info (as physiological arousal) is needed to guide decision making
  • somatic markers = bodily reactions to emotional stimuli
  • OFC supports learning of associations between somatic markers/complex situations
  • OFC can use said info to access likely outcomes of beh choices
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6
Q

IOWA GAMBLING TASK (IGT): LIMITATIONS

A
  • cards = presented in fixed order inducing pref for risky decks (aka. wins experienced early; losses experienced later)
  • pps must overcome said pref & switch to “good” decks to perform well on task
  • this inhibition/switching process = reversal learning
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7
Q

FELLOWS & FARAH (2005)

A
  • standard IGT = risky deck loss experienced later (reversal learning required)
  • variant IGT = risky deck loss experienced earlier (no reversal learning)
    RESULTS
  • VMF patients = impaired relative to controls on standard IGT
  • impairment disappears in variant IGT
  • suggests deficit is in reversal learning > broad value-based decision making
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8
Q

FELLOWS & FARAH (2003): PROCEDURE

A
  • further investigated previse role of OFC in value-based decision making
  • reversal learning task = pps learned which card predicts reward then contingencies shifted
  • included patients w/DLPFC/ventromedial (OFC) lesions
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9
Q

FELLOWS & FARAH (2005): RESULTS

A
  • DLPFC = unimpaired
  • OFC = specific deficit at reversal stage
  • could learn initial response contingencies BUT had issues learning about new contingency
  • researchers argued that OFC = necessary NOT for learning about stimulus-reward contingencies but for unlearning established associations
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10
Q

O’DOHERTY ET AL. (2001): PROCEDURE

A
  • neuroimaging evidence supporting that OFC may be divided according to dif functions
  • pps performed probabilistic reversal learning task; rewarded for choosing 1 reward but punished for choosing the other
  • contingencies changed post learning reward option; had to learn responses to other stimulus
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11
Q

O’DOHERTY ET AL. (2001): RESULTS

A
  • dissociable regions of OFC responded preferentially to rewards/punishments:
    1) medial OFC = stronger response to reward
    2) lateral OFC = stronger response during punishment (just pre reversal)
  • suggests that dif regions in OFC respond to dif outcome types
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12
Q

CHUDASAMA ET AL. (2017): PROCEDURE

A
  • limitation for reversal learning hypothesis
  • monkeys w/OFC lesions don’t always show reversal learning deficit
  • monkeys had to select large/small reward (ie. 4 peanuts VS 1 peanut) aka:
    1) selecting small reward -> gives big reward
    2) selecting big reward -> small reward
  • task requires overcoming innate pref for larger food rewards aka. dif to standard reversal learning task involving learning/suppression of arbitrary stimulus-outcome relations
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13
Q

CHUDASAMA ET AL. (2017): RESULTS

A
  • monkeys took long time to learn task (50 sessions)
  • reversal learning takes place over much shorter time periods
  • aka. OFC may only be required for reversal learning when stimulus-outcome computations = made “on-the-fly” & suppression involved arbitrary stimulus-outcome relations
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14
Q

OFC: COMPUTATION VALUE

A
  • recent OFC function POVs emphasise computation value
  • OFC = “accountant” converting info about outcomes (prob/magnitude/costs/etc) into “common neural currency” on which to base choices
  • may account for OFC role in generation of complex emotions (ie. regret)
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15
Q

CAMILLE ET AL. (2004): PROCEDURE

A
  • OFC x neglect
  • pps chose 1/2 wheels w/dif winning chances
  • either got:
    1) partial feedback (found out they won & know possibilities if they chose other wheel BUT don’t know what they’d’ve won if they chose the other)
    2) full feedback (found out what they won & what they would’ve won if they’d chosen other option)
  • asked pps to rate satisfaction lvl upon outcome
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16
Q

CAMILLE ET AL. (2004): RESULTS

A
  • healthy pps:
    1) ^ satisfaction ratings upon finding out they’d’ve won less/lost more if they’d’vechosen other wheel
    2) lower ratings when they’d’ve won more/lost less if they’d’ve chosen other wheel
  • OFC patients didn’t show this counterfactual thinking pattern aka. didn’t modulate ratings according to if alternative wheel would be win/lose
  • suggests key role of OFC in experiences winning/losing consequences & (importantly) integrating info from dif outcome sources
17
Q

SUMMARY

A
  • facilitating effective decision making based on knowledge of value of dif actions
  • suppressing actions based on recently learned action-outcome relations
  • only seems necessary for value computations when based on new info that changed rapidly
  • ability to “mentally stimulate” info about predicted outcomes = key